978 citations · 4.5k across the 70 of their papers we have counts for
5 papers · 1 filter
Weakly-supervised learning of visual relations
Julia Peyre, Ivan Laptev, Cordelia Schmid +1
This paper introduces a novel approach for modeling visual relations between pairs of objects. We call relation a triplet of the form (subject, predicate, object) where the predica…
Learning from Video and Text via Large-Scale Discriminative Clustering
Antoine Miech, Jean-Baptiste Alayrac, Piotr Bojanowski +2
Discriminative clustering has been successfully applied to a number of weakly-supervised learning tasks. Such applications include person and action recognition, text-to-video alig…
Learnable pooling with Context Gating for video classification
Antoine Miech, Ivan Laptev, Josef Sivic
Current methods for video analysis often extract frame-level features using pre-trained convolutional neural networks (CNNs). Such features are then aggregated over time e.g., by s…
Joint Discovery of Object States and Manipulation Actions
Jean-Baptiste Alayrac, Josev Sivic, Ivan Laptev +1
Many human activities involve object manipulations aiming to modify the object state. Examples of common state changes include full/empty bottle, open/closed door, and attached/det…
Learning from Synthetic Humans
Gül Varol, Javier Romero, Xavier Martin +4
Estimating human pose, shape, and motion from images and videos are fundamental challenges with many applications. Recent advances in 2D human pose estimation use large amounts of…